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Updated: Jun 27, 2025

A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior
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A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior

Published on: May 21, 2020

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一个基于深度学习的管道,用于开发多肋形状生成模型,使用人口百分位数或人体测量作为预测器

Yuan Huang1, Sven A Holcombe2, Stewart C Wang3

  • 1Research Investigator in International Center for Automotive Medicine (ICAM), University of Michigan, USA.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
|May 1, 2024
PubMed
概括

这项研究引入了一种新方法,使用人工智能生成现实的肋骨形状,这对于理解受伤风险和为不同人群创建准确的人体模型至关重要.

关键词:
对抗性的训练是对抗性的训练.有条件变化的自编码器.相关性模型的相关性模型.分布模式的分布模型.生成型模型是一种生成型模型.肋骨截面形状的横截面形状.

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